Pablo Moreno-Muñoz

According to our database, Pablo Moreno-Muñoz authored at least 17 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Generative Modeling by Value-Driven Transport.

Pablo Moreno-Muñoz, Adrian Müller, Gergely Neu

CoRR, May, 2026

2024

Gradients of Functions of Large Matrices.

Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy, Søren Hauberg

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Decoder ensembling for learned latent geometries.

Stas Syrota, Pablo Moreno-Muñoz, Søren Hauberg

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2023

On Masked Pre-training and the Marginal Likelihood.

Pablo Moreno-Muñoz, Pol Garcia Recasens, Søren Hauberg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Riemannian Laplace approximations for Bayesian neural networks.

Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Cholesky Gaussian Processes.

Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Multinomial Sampling of Latent Variables for Hierarchical Change-Point Detection.

Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez

J. Signal Process. Syst., 2022

Revisiting Active Sets for Gaussian Process Decoders.

Pablo Moreno-Muñoz, Cilie W. Feldager, Søren Hauberg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Laplacian Autoencoders for Learning Stochastic Representations.

Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Change-point detection in hierarchical circadian models.

Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez

Pattern Recognit., 2021

Modular Gaussian Processes for Transfer Learning.

Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Passive detection of behavioral shifts for suicide attempt prevention.

Pablo Moreno-Muñoz, Lorena Romero-Medrano, Ángela Moreno, Jesús Herrera-López, Enrique Baca-García, Antonio Artés-Rodríguez

CoRR, 2020

Recyclable Gaussian Processes.

Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez

CoRR, 2020

Multinomial Sampling for Hierarchical Change-Point Detection.

Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Continual Learning for Infinite Hierarchical Change-Point Detection.

Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Continual Multi-task Gaussian Processes.

Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez

CoRR, 2019

2018

Heterogeneous Multi-output Gaussian Process Prediction.

Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018